Data-Facing Track, Feb 2026

Following the accelerated usage of AI tools in multiple domains, the curation of research data to be “AI-ready” became essential. “AI-ready” data is imperative if researchers seek to derive the most value from their organization’s AI efforts. In this discussion, we focus on what AI-ready data is, how researchers can achieve it, how it differs from traditional data preparation, and what data-management practices one should employ to manage AI-ready data. We will also highlight related learning resources and RCD considerations that should be taken into account while preparing AI-ready data, part of the in-progress work by CaRCC’s AI Facilitation Materials working group.

Presentation and group discussion, with community members:
Manasvita Joshi, Director for Data Science and Research Facilitation,
Faculty of Arts and Sciences Research Computing (FASRC), Harvard
University
Sarah Marchese, Research Data Manager, Faculty of Arts and Sciences
Research Computing (FASRC), Harvard University

See CaRCC and Track email communications and/or the CaRCC calendar for connection details: https://calendar.google.com/calendar/u/0?cid=Y19jNGUwNTg1ZWI2MDllZGE4YmM0YWQzNjYwZTdiYmMwNzM2YTQyYzQxOTA1ODlhN2RkOTRmODRmMTU4ZjcwYWVjQGdyb3VwLmNhbGVuZGFyLmdvb2dsZS5jb20